Data preparation: Outliers

In this week’s issue, the final entry in our series of data preparation tutorials, we discuss the influence of outliers on our time series analysis. Dealing with outliers can be tricky, as they might result from a number of factors,…

Data preparation: Concentration of Values

This week, we continue with the fourth issue in our ongoing data preparation series by addressing two important anomalies commonly found in sample data: (1) concentration of values – either a tight range (e.g. proportions) or a wide dispersal over…

NumXL Forums are available

We are pleased to announce the launch of our new NumXL Community support forums. We hope this platform will provide help to users from within the NumXL community. The Forums are available to all users, even those who don’t have…

Data Preparation: Homogeneity

This week, we unveil the third issue in our ongoing series of tutorials on data preparation. This time, our focus is another bedrock assumption in time series modeling: homogeneity, or the assumption that a time series sample is drawn from…

No License Key? No Problem!

We've heard a few questions from many of our users about the new 7-day grace period offered with our latest NumXL release. Simply put, you can now run a full version of NumXL immediately for seven days, no license key…

Time series and stationarity

Today we launch the second tutorial in our ongoing series about data preparation in time series analysis. Our focus this time around is one of the most fundamental assumptions in time series analysis: Stationarity, or the assumption that a data…

NumXL Subscription

Today, the SPIDER team announces the launch of an annual licensing (aka subscription) program for NumXL 1.5X Pro. New customers can now choose between the perpetual licensing plan and an annual licensing subscription at a lower cost.